Artificial intelligence grows more demanding every year. Modern models learn and operate by pushing huge volumes of data ...
Combination of real and imaginary parts (CRI) works well for solving complex symmetric linear systems. This paper develops a generalization of CRI method to determine the solution of Sylvester matrix ...
We study the numerical behavior of stationary one-step or two-step matrix splitting iteration methods for solving large sparse systems of linear equations. We show that inexact solutions of inner ...
Mathematical language processing and problem solving represent a confluence of artificial intelligence, natural language processing and symbolic reasoning, aiming to bridge the gap between human ...